clusteringlocalserviceapibuild.java

一个数据挖掘软件ALPHAMINERR的整个过程的JAVA版源代码

/*
 *    This program is free software; you can redistribute it and/or modify
 *    it under the terms of the GNU General Public License as published by
 *    the Free Software Foundation; either version 2 of the License, or
 *    (at your option) any later version.
 *
 *    This program is distributed in the hope that it will be useful,
 *    but WITHOUT ANY WARRANTY; without even the implied warranty of
 *    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 *    GNU General Public License for more details.
 *
 *    You should have received a copy of the GNU General Public License
 *    along with this program; if not, write to the Free Software
 *    Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA.
 */

 /**
  * Title: XELOPES Data Mining Library
  * Description: The XELOPES library is an open platform-independent and data-source-independent library for Embedded Data Mining.
  * Copyright: Copyright (c) 2002 Prudential Systems Software GmbH
  * Company: ZSoft (www.zsoft.ru), Prudsys (www.prudsys.com)
  * @author Carsten Weisse
  * @author Michael Thess
  * @version 1.0
  */
package com.prudsys.pdm.Examples;

import java.io.FileWriter;

import com.prudsys.pdm.Adapters.ServiceAPI.LocalXelopesServiceImpl;
import com.prudsys.pdm.Adapters.ServiceAPI.LookupService;
import com.prudsys.pdm.Adapters.ServiceAPI.ServiceAlgorithmParameter;
import com.prudsys.pdm.Core.MiningModel;
import com.prudsys.pdm.Input.MiningInputStream;
import com.prudsys.pdm.Input.Records.Arff.MiningArffStream;
import com.prudsys.pdm.Utils.PmmlUtils;

/**
 * Builds clustering model like 'ClusteringBuild'
 * but using the local Service API. Writes the model to the same
 * PMML file 'ClusteringModel.xml'.
 */
public class ClusteringLocalServiceAPIBuild extends BasisExample
{
  /**
   * Empty constructor.
   */
  public ClusteringLocalServiceAPIBuild()
  {
  }

  /**
   * Run the example of this class.
   *
   * @throws Exception error while example is running
   */
  public void runExample() throws Exception {

    // Create XELOPES Local Service Implementation object:
    LocalXelopesServiceImpl lxsi = new LocalXelopesServiceImpl();

    // Open mining input stream:
    MiningInputStream inputData = new MiningArffStream( "data/arff/iris.arff" );

    // Run clustering algorithm and obtain result as PMML string:
    ServiceAlgorithmParameter[] algPar = lxsi.getAlgorithmParameters("KMeans");
    for (int i = 0; i < algPar.length; i++)
      System.out.println("     name: " + algPar[i].getName() +
                             ", value: " + algPar[i].getValue() +
                             ", type: " + algPar[i].getType() +
                             ", descript: " + algPar[i].getDescription() +
                             ", domain: " + algPar[i].getDomain() +
                             ", status: " + algPar[i].getStatus() +
                             ", ID: " + algPar[i].getID() +
                             ", childIDs: " + algPar[i].getChildIDs() );


    System.out.println("-->Build model by service: ");
    LookupService.setSAPValue(algPar, "type", "1");
    LookupService.setSAPValue(algPar, "numberOfClusters", "3");
    MiningModel model = lxsi.buildModelService("KMeans", algPar, inputData);

    // Write result into PMML file:
    FileWriter writer = new FileWriter("data/pmml/ClusteringModel.xml");
    model.writePmml(writer);

    // Show in browser:
    if (debug == 2) PmmlUtils.openPmmlBrowser("ClusteringModel.xml");
  }

  /**
   * Simple example of building a clustering model
   * using the Local Service API.
   *
   * @param args arguments (ignored)
   */
  public static void main(String[] args) {

    try {
      new ClusteringLocalServiceAPIBuild().runExample();
    }
    catch (Exception ex) {
      ex.printStackTrace();
    }
  }
}